Range reduct based on variable precision rough set model;
变精度粗集模型是一种有参数的粗集扩充模型。
A rough set model to mine default rules was presented in order to reason and solve the decision question with incomplete information.
提出了一种基于粗集的缺省规则挖掘模型，以利于在信息不完备情况下进行推理和决策。
In this paper, variable precision rough set model based on set pair analysis is proposed by introducing a concept of relatively classified fault rate.
该文是在集对粗糙集模型的基础上，引入相对分类错误率的概念，提出了一种基于集对分析的变精度粗糙集模型。
Moreover, the similarity dominance-based rough set model is introduced into the incomplete fuzzy decision system for knowledge reduction and knowledge acquisition.
将基于相似优势关系的粗糙集模型引入不完备模糊决策系统中，对其中的知识约简与知识获取问题进行了研究。
By combining fuzzy set theory and rough set theory, rough fuzzy set model and fuzzy rough set model were proposed, and the uncertain measurement approaches were established.
人们将粗糙集理论与模糊集理论相结合，提出了粗糙模糊集模型和模糊粗糙集模型，并给出了相应的不确定性度量方法。
A new method was developed to find the decision rules in a rough set model based on the variable precision rough set model.
为解决辐射源识别的问题，研究了变精度粗糙集模型生成规则。
In this paper, a degree-variable precision rough set model based on variable precision rough set and the degree of rough set is proposed by introducing a concept of error parameters.
在程度粗糙集和变精度粗糙集的基础上，通过引入误差参数，给出了一种新的程度变精度粗糙集模型并得出了所给模型上、下近似的一些性质。
The improved variable precision rough set model (VPRS) is applied to analyze "the questionnaire of customer's decision-making psychology". The sample includes 910 undergraduate students.
利用改进后的变精度粗糙集模型(VPRS)分析“消费者决策心理调查问卷”，样本包括910个大学生。
In this paper, as a generalization of Pawalak's rough set model, we introduce a rough set model over two universes and discuss its properties and applications to the diagnosis of diseases.
主要从标准粗糙集出发介绍了将单个非空有限论域上的粗糙集推广到两个非空有限论域上形成的两个论域上的粗糙集，对其性质进行了讨论，以及该模型在疾病诊断上的应用。
Some practical problems allow certain degree error of classification, in order to solve the problems, this paper extended our model and put forward the degree rough set model based covering.
有一些实际问题是允许一定程度的分类误差的，为了解决这些问题，本文将基于覆盖的粗糙集模型作了相应的推广，提出了基于覆盖的程度粗糙集模型。
This paper presents a novel rough set model based on concordance relation, according to which the objects are less indiscernible and tolerant on the basis of classical and tolerant rough sets.
在传统的粗糙集模型和相容粗糙集模型基础上，通过松弛对象之间的不可分辨和相容性条件，给出了一种新的基于和谐关系的粗糙集模型。
This paper presents a novel rough set model based on concordance relation, according to which the objects are less indiscernible and tolerant on the basis of classical and tolerant rough sets.
在传统的粗糙集模型和相容粗糙集模型基础上，通过松弛对象之间的不可分辨和相容性条件，给出了一种新的基于和谐关系的粗糙集模型。
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